{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**本文已加入 [**🚀 Python AI 计划**](https://github.com/kzbkzb/Python-AI)，从一个Python小白到一个AI大神，你所需要的所有知识都在 [这里](https://github.com/kzbkzb/Python-AI) 了。**\n",
    "***\n",
    "\n",
    "- **作者**：[K同学啊](https://www.zhihu.com/people/ni-huan-hao-ma-70-3/posts)\n",
    "- **数据**：公众号内回复 `DL+35`可以获取数据\n",
    "- **代码**：全部代码已放入文中，也可以去我的  [GitHub](https://github.com/kzbkzb/Python-AI) 上下载\n",
    "\n",
    "大家好，我是『K同学啊』！\n",
    "\n",
    "今天我将带大家探索一下深度学习在医学领域的应用--**脑肿瘤识别**，脑肿瘤也称为颅内肿瘤，是颅内占位性病变的主要疾病，在儿童易患的恶性病变中仅次于白血病，位于第二位。有数据表明，我国每年新增儿童脑瘤患者7000～8000名，其中70%～80%的患儿肿瘤呈恶性。由于脑肿瘤患者年龄越小，发病速度越快，肿瘤恶性程度越高，所以早期发现。治疗成为降低疾病危害的重要方式之一。\n",
    "\n",
    "这次我们**一共用到了253张脑部扫描图片**数据，其中患有脑肿瘤的患者脑部扫描图片155张，正常人的脑部扫描图片98张。使用的算法为**MobileNetV2**，最后的识别准确率是**90.0%**，AUC值为**0.869**。\n",
    "\n",
    "**本次的重点：** 相对于《深度学习100例》以往的案例，本次我们将加入**AUC评价指标**来评估脑肿瘤识别的识别效果，AUC（Area under the Curve of ROC）是ROC曲线下方的面积，是判断二分类预测模型优劣的标准。\n",
    "\n",
    "**我的环境：**\n",
    "\n",
    "- 语言环境：Python3.8\n",
    "- 编译器：Jupyter lab\n",
    "- 深度学习环境：TensorFlow2.4.1\n",
    "\n",
    "我们的代码流程图如下所示：\n",
    "![image.png](attachment:792e1d8f-8147-4313-b635-adc5c6351144.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 一、设置GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "gpus = tf.config.list_physical_devices(\"GPU\")\n",
    "\n",
    "if gpus:\n",
    "    gpu0 = gpus[0] #如果有多个GPU，仅使用第0个GPU\n",
    "    tf.config.experimental.set_memory_growth(gpu0, True) #设置GPU显存用量按需使用\n",
    "    tf.config.set_visible_devices([gpu0],\"GPU\")\n",
    "    \n",
    "import matplotlib.pyplot as plt\n",
    "import os,PIL,pathlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "from tensorflow import keras\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")             #忽略警告信息\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False    # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 二、导入数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "图片总数为： 253\n"
     ]
    }
   ],
   "source": [
    "import pathlib\n",
    "\n",
    "data_dir = \"./35-day-brain_tumor_dataset\"\n",
    "data_dir = pathlib.Path(data_dir)\n",
    "image_count = len(list(data_dir.glob('*/*')))\n",
    "print(\"图片总数为：\",image_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 16\n",
    "img_height = 224\n",
    "img_width  = 224"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 253 files belonging to 2 classes.\n",
      "Using 203 files for training.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "关于image_dataset_from_directory()的详细介绍可以参考文章：https://mtyjkh.blog.csdn.net/article/details/117018789\n",
    "\"\"\"\n",
    "train_ds = tf.keras.preprocessing.image_dataset_from_directory(\n",
    "    data_dir,\n",
    "    validation_split=0.2,\n",
    "    subset=\"training\",\n",
    "    seed=12,\n",
    "    image_size=(img_height, img_width),\n",
    "    batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 253 files belonging to 2 classes.\n",
      "Using 50 files for validation.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "关于image_dataset_from_directory()的详细介绍可以参考文章：https://mtyjkh.blog.csdn.net/article/details/117018789\n",
    "\"\"\"\n",
    "val_ds = tf.keras.preprocessing.image_dataset_from_directory(\n",
    "    data_dir,\n",
    "    validation_split=0.2,\n",
    "    subset=\"validation\",\n",
    "    seed=12,\n",
    "    image_size=(img_height, img_width),\n",
    "    batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['no', 'yes']\n"
     ]
    }
   ],
   "source": [
    "class_names = train_ds.class_names\n",
    "print(class_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 检查数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(16, 224, 224, 3)\n",
      "(16,)\n"
     ]
    }
   ],
   "source": [
    "for image_batch, labels_batch in train_ds:\n",
    "    print(image_batch.shape)\n",
    "    print(labels_batch.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 配置数据集"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **shuffle() ：** 打乱数据，关于此函数的详细介绍可以参考：https://zhuanlan.zhihu.com/p/42417456\n",
    "- **prefetch() ：** 预取数据，加速运行，其详细介绍可以参考我前两篇文章，里面都有讲解。\n",
    "- **cache() ：** 将数据集缓存到内存当中，加速运行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "AUTOTUNE = tf.data.AUTOTUNE\n",
    "\n",
    "def train_preprocessing(image,label):\n",
    "    return (image/255.0,label)\n",
    "\n",
    "train_ds = (\n",
    "    train_ds.cache()\n",
    "    .shuffle(1000)\n",
    "    .map(train_preprocessing)    # 这里可以设置预处理函数\n",
    "#     .batch(batch_size)           # 在image_dataset_from_directory处已经设置了batch_size\n",
    "    .prefetch(buffer_size=AUTOTUNE)\n",
    ")\n",
    "\n",
    "val_ds = (\n",
    "    val_ds.cache()\n",
    "    .shuffle(1000)\n",
    "    .map(train_preprocessing)    # 这里可以设置预处理函数\n",
    "#     .batch(batch_size)         # 在image_dataset_from_directory处已经设置了batch_size\n",
    "    .prefetch(buffer_size=AUTOTUNE)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 15 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))  # 图形的宽为10高为5\n",
    "plt.suptitle(\"公众号（K同学啊）回复：DL+35，获取数据\")\n",
    "\n",
    "class_names = [\"脑肿瘤患者\",\"正常人\"]\n",
    "\n",
    "for images, labels in train_ds.take(1):\n",
    "    for i in range(15):\n",
    "        plt.subplot(4, 5, i + 1)\n",
    "        plt.xticks([])\n",
    "        plt.yticks([])\n",
    "        plt.grid(False)\n",
    "\n",
    "        # 显示图片\n",
    "        plt.imshow(images[i])\n",
    "        # 显示标签\n",
    "        plt.xlabel(class_names[labels[i]-1])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 三、构建模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras import layers, models, Input\n",
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout,BatchNormalization,Activation\n",
    "\n",
    "# 加载预训练模型\n",
    "base_model = tf.keras.applications.mobilenet_v2.MobileNetV2(weights='imagenet',\n",
    "                                                            include_top=False,\n",
    "                                                            input_shape=(img_width,img_height,3),\n",
    "                                                            pooling='max')\n",
    "\n",
    "for layer in base_model.layers:\n",
    "    layer.trainable = True\n",
    "    \n",
    "X = base_model.output\n",
    "\"\"\"\n",
    "注意到原模型（MobileNetV2）会发生过拟合现象，这里加上一个Dropout层\n",
    "加上后，过拟合现象得到了明显的改善。\n",
    "大家可以试着通过调整代码，观察一下注释Dropout层与不注释之间的差别\n",
    "\"\"\"\n",
    "X = Dropout(0.4)(X)\n",
    "\n",
    "output = Dense(len(class_names), activation='softmax')(X)\n",
    "model = Model(inputs=base_model.input, outputs=output)\n",
    "\n",
    "# model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、编译"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model.compile(optimizer=\"adam\",\n",
    "                loss='sparse_categorical_crossentropy',\n",
    "                metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.callbacks import ModelCheckpoint, Callback, EarlyStopping, ReduceLROnPlateau, LearningRateScheduler\n",
    "\n",
    "NO_EPOCHS = 50\n",
    "PATIENCE  = 10\n",
    "VERBOSE   = 1\n",
    "\n",
    "# 设置动态学习率\n",
    "annealer = LearningRateScheduler(lambda x: 1e-3 * 0.99 ** (x+NO_EPOCHS))\n",
    "\n",
    "# 设置早停\n",
    "earlystopper = EarlyStopping(monitor='val_acc', patience=PATIENCE, verbose=VERBOSE)\n",
    "\n",
    "# \n",
    "checkpointer = ModelCheckpoint('best_model.h5',\n",
    "                                monitor='val_accuracy',\n",
    "                                verbose=VERBOSE\n",
    "                                save_best_only=True,\n",
    "                                save_weights_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "13/13 [==============================] - 7s 145ms/step - loss: 3.1000 - accuracy: 0.6700 - val_loss: 1.7745 - val_accuracy: 0.6400\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00001: val_accuracy improved from -inf to 0.64000, saving model to best_model.h5\n",
      "Epoch 2/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.9702 - accuracy: 0.8571 - val_loss: 1.4267 - val_accuracy: 0.7600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00002: val_accuracy improved from 0.64000 to 0.76000, saving model to best_model.h5\n",
      "Epoch 3/50\n",
      "13/13 [==============================] - 1s 58ms/step - loss: 0.6924 - accuracy: 0.9064 - val_loss: 3.4140 - val_accuracy: 0.7400\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00003: val_accuracy did not improve from 0.76000\n",
      "Epoch 4/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.2761 - accuracy: 0.9507 - val_loss: 2.3684 - val_accuracy: 0.7600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00004: val_accuracy did not improve from 0.76000\n",
      "Epoch 5/50\n",
      "13/13 [==============================] - 1s 58ms/step - loss: 0.1605 - accuracy: 0.9803 - val_loss: 1.3602 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00005: val_accuracy improved from 0.76000 to 0.88000, saving model to best_model.h5\n",
      "Epoch 6/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.0642 - accuracy: 0.9803 - val_loss: 1.2008 - val_accuracy: 0.8400\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00006: val_accuracy did not improve from 0.88000\n",
      "Epoch 7/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.2598 - accuracy: 0.9655 - val_loss: 2.1756 - val_accuracy: 0.8200\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00007: val_accuracy did not improve from 0.88000\n",
      "Epoch 8/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.3126 - accuracy: 0.9606 - val_loss: 1.1088 - val_accuracy: 0.8600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00008: val_accuracy did not improve from 0.88000\n",
      "Epoch 9/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 0.4604 - accuracy: 0.9507 - val_loss: 1.7696 - val_accuracy: 0.8400\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00009: val_accuracy did not improve from 0.88000\n",
      "Epoch 10/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.1744 - accuracy: 0.9803 - val_loss: 4.6071 - val_accuracy: 0.7800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00010: val_accuracy did not improve from 0.88000\n",
      "Epoch 11/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.2336 - accuracy: 0.9754 - val_loss: 1.7029 - val_accuracy: 0.8400\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00011: val_accuracy did not improve from 0.88000\n",
      "Epoch 12/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.2209 - accuracy: 0.9704 - val_loss: 1.6823 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00012: val_accuracy did not improve from 0.88000\n",
      "Epoch 13/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 0.0976 - accuracy: 0.9901 - val_loss: 1.7653 - val_accuracy: 0.9000\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00013: val_accuracy improved from 0.88000 to 0.90000, saving model to best_model.h5\n",
      "Epoch 14/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.0305 - accuracy: 0.9951 - val_loss: 1.8405 - val_accuracy: 0.9000\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00014: val_accuracy did not improve from 0.90000\n",
      "Epoch 15/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 0.0300 - accuracy: 0.9951 - val_loss: 1.8555 - val_accuracy: 0.9000\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00015: val_accuracy did not improve from 0.90000\n",
      "Epoch 16/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 0.0017 - accuracy: 1.0000 - val_loss: 1.9148 - val_accuracy: 0.9000\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00016: val_accuracy did not improve from 0.90000\n",
      "Epoch 17/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 1.0493e-05 - accuracy: 1.0000 - val_loss: 1.9508 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00017: val_accuracy did not improve from 0.90000\n",
      "Epoch 18/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.0063 - accuracy: 0.9951 - val_loss: 2.0597 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00018: val_accuracy did not improve from 0.90000\n",
      "Epoch 19/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 2.5547e-05 - accuracy: 1.0000 - val_loss: 2.2368 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00019: val_accuracy did not improve from 0.90000\n",
      "Epoch 20/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 4.3992e-04 - accuracy: 1.0000 - val_loss: 2.3177 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00020: val_accuracy did not improve from 0.90000\n",
      "Epoch 21/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.0045 - accuracy: 0.9951 - val_loss: 2.2635 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00021: val_accuracy did not improve from 0.90000\n",
      "Epoch 22/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.0046 - accuracy: 0.9951 - val_loss: 2.3629 - val_accuracy: 0.8600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00022: val_accuracy did not improve from 0.90000\n",
      "Epoch 23/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 1.0910e-05 - accuracy: 1.0000 - val_loss: 2.3752 - val_accuracy: 0.8600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00023: val_accuracy did not improve from 0.90000\n",
      "Epoch 24/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 7.8600e-04 - accuracy: 1.0000 - val_loss: 2.3783 - val_accuracy: 0.8600\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00024: val_accuracy did not improve from 0.90000\n",
      "Epoch 25/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 1.2669e-04 - accuracy: 1.0000 - val_loss: 2.3817 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00025: val_accuracy did not improve from 0.90000\n",
      "Epoch 26/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 0.0012 - accuracy: 1.0000 - val_loss: 2.3531 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00026: val_accuracy did not improve from 0.90000\n",
      "Epoch 27/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 2.3624e-05 - accuracy: 1.0000 - val_loss: 2.3684 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00027: val_accuracy did not improve from 0.90000\n",
      "Epoch 28/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 3.9004e-06 - accuracy: 1.0000 - val_loss: 2.3966 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00028: val_accuracy did not improve from 0.90000\n",
      "Epoch 29/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 7.0158e-05 - accuracy: 1.0000 - val_loss: 2.4270 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00029: val_accuracy did not improve from 0.90000\n",
      "Epoch 30/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 1.6736e-07 - accuracy: 1.0000 - val_loss: 2.4553 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00030: val_accuracy did not improve from 0.90000\n",
      "Epoch 31/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 5.3161e-06 - accuracy: 1.0000 - val_loss: 2.4829 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00031: val_accuracy did not improve from 0.90000\n",
      "Epoch 32/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 1.9029e-06 - accuracy: 1.0000 - val_loss: 2.5062 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00032: val_accuracy did not improve from 0.90000\n",
      "Epoch 33/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 4.4043e-08 - accuracy: 1.0000 - val_loss: 2.5262 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00033: val_accuracy did not improve from 0.90000\n",
      "Epoch 34/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 1.7917e-04 - accuracy: 1.0000 - val_loss: 2.5361 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00034: val_accuracy did not improve from 0.90000\n",
      "Epoch 35/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 7.2817e-08 - accuracy: 1.0000 - val_loss: 2.5496 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00035: val_accuracy did not improve from 0.90000\n",
      "Epoch 36/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 7.1991e-07 - accuracy: 1.0000 - val_loss: 2.5623 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00036: val_accuracy did not improve from 0.90000\n",
      "Epoch 37/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 2.2943e-04 - accuracy: 1.0000 - val_loss: 2.5772 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00037: val_accuracy did not improve from 0.90000\n",
      "Epoch 38/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 7.3404e-08 - accuracy: 1.0000 - val_loss: 2.6216 - val_accuracy: 0.8800ETA: 0s - loss: 3.0299e-0\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00038: val_accuracy did not improve from 0.90000\n",
      "Epoch 39/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 7.6630e-07 - accuracy: 1.0000 - val_loss: 2.6358 - val_accuracy: 0.8800: 8.3187e-07 - accuracy: 1.\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00039: val_accuracy did not improve from 0.90000\n",
      "Epoch 40/50\n",
      "13/13 [==============================] - 1s 58ms/step - loss: 1.6501e-07 - accuracy: 1.0000 - val_loss: 2.6416 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00040: val_accuracy did not improve from 0.90000\n",
      "Epoch 41/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 3.8404e-07 - accuracy: 1.0000 - val_loss: 2.6443 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00041: val_accuracy did not improve from 0.90000\n",
      "Epoch 42/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 2.9362e-08 - accuracy: 1.0000 - val_loss: 2.6445 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00042: val_accuracy did not improve from 0.90000\n",
      "Epoch 43/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 3.4352e-07 - accuracy: 1.0000 - val_loss: 2.6436 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00043: val_accuracy did not improve from 0.90000\n",
      "Epoch 44/50\n",
      "13/13 [==============================] - 1s 61ms/step - loss: 1.8498e-07 - accuracy: 1.0000 - val_loss: 2.6452 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00044: val_accuracy did not improve from 0.90000\n",
      "Epoch 45/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 2.0908e-06 - accuracy: 1.0000 - val_loss: 2.6475 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00045: val_accuracy did not improve from 0.90000\n",
      "Epoch 46/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 1.6384e-07 - accuracy: 1.0000 - val_loss: 2.6518 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00046: val_accuracy did not improve from 0.90000\n",
      "Epoch 47/50\n",
      "13/13 [==============================] - 1s 58ms/step - loss: 8.3675e-07 - accuracy: 1.0000 - val_loss: 2.6569 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00047: val_accuracy did not improve from 0.90000\n",
      "Epoch 48/50\n",
      "13/13 [==============================] - 1s 59ms/step - loss: 1.5973e-07 - accuracy: 1.0000 - val_loss: 2.6603 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00048: val_accuracy did not improve from 0.90000\n",
      "Epoch 49/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 3.0536e-08 - accuracy: 1.0000 - val_loss: 2.6647 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00049: val_accuracy did not improve from 0.90000\n",
      "Epoch 50/50\n",
      "13/13 [==============================] - 1s 60ms/step - loss: 1.4094e-08 - accuracy: 1.0000 - val_loss: 2.6689 - val_accuracy: 0.8800\n",
      "WARNING:tensorflow:Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy\n",
      "\n",
      "Epoch 00050: val_accuracy did not improve from 0.90000\n"
     ]
    }
   ],
   "source": [
    "train_model  = model.fit(train_ds,\n",
    "                  epochs=NO_EPOCHS,\n",
    "                  verbose=1,\n",
    "                  validation_data=val_ds,\n",
    "                  callbacks=[earlystopper, checkpointer, annealer])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、模型评估"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 1. 混淆矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "# 定义一个绘制混淆矩阵图的函数\n",
    "def plot_cm(labels, predictions):\n",
    "    \n",
    "    # 生成混淆矩阵\n",
    "    conf_numpy = confusion_matrix(labels, predictions)\n",
    "    # 将矩阵转化为 DataFrame\n",
    "    conf_df = pd.DataFrame(conf_numpy, index=class_names ,columns=class_names)  \n",
    "    \n",
    "    plt.figure(figsize=(8,7))\n",
    "    \n",
    "    sns.heatmap(conf_df, annot=True, fmt=\"d\", cmap=\"BuPu\")\n",
    "    \n",
    "    plt.title('混淆矩阵',fontsize=15)\n",
    "    plt.ylabel('真实值',fontsize=14)\n",
    "    plt.xlabel('预测值',fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_pre   = []\n",
    "val_label = []\n",
    "\n",
    "for images, labels in val_ds:#这里可以取部分验证数据（.take(1)）生成混淆矩阵\n",
    "    for image, label in zip(images, labels):\n",
    "        # 需要给图片增加一个维度\n",
    "        img_array = tf.expand_dims(image, 0) \n",
    "        # 使用模型预测图片中的人物\n",
    "        prediction = model.predict(img_array)\n",
    "\n",
    "        val_pre.append(class_names[np.argmax(prediction)])\n",
    "        val_label.append(class_names[label])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cm(val_label, val_pre)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 各项指标评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       脑肿瘤患者       0.94      0.89      0.92        37\n",
      "         正常人       0.73      0.85      0.79        13\n",
      "\n",
      "    accuracy                           0.88        50\n",
      "   macro avg       0.84      0.87      0.85        50\n",
      "weighted avg       0.89      0.88      0.88        50\n",
      "\n",
      "Loss function: 2.668877601623535, accuracy: 0.8799999952316284\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "\n",
    "def test_accuracy_report(model):\n",
    "    print(metrics.classification_report(val_label, val_pre, target_names=class_names)) \n",
    "    score = model.evaluate(val_ds, verbose=0)\n",
    "    print('Loss function: %s, accuracy:' % score[0], score[1])\n",
    "    \n",
    "test_accuracy_report(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. AUC 评价"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**一句话介绍：AUC（Area under the Curve of ROC）是ROC曲线下方的面积，是判断二分类预测模型优劣的标准。**\n",
    "\n",
    "- **AUC = 1**：是完美分类器，绝大多数预测的场合，不存在完美分类器。\n",
    "- **0.5 < AUC < 1**：优于随机猜测。\n",
    "- **AUC = 0.5**：跟随机猜测一样（例：丢硬币），模型没有预测价值。\n",
    "- **AUC < 0.5**：比随机猜测还差。\n",
    "\n",
    "**ROC曲线的横坐标是伪阳性率**（也叫假正类率，False Positive Rate），**纵坐标是真阳性率**（真正类率，True Positive Rate），相应的还有真阴性率（真负类率，True Negative Rate）和伪阴性率（假负类率，False Negative Rate）。这四类的计算方法如下：\n",
    "\n",
    "- **伪阳性率（FPR）**：在所有实际为阴性的样本中，被错误地判断为阳性的比率。\n",
    "- **真阳性率（TPR）**：在所有实际为阳性的样本中，被正确地判断为阳性的比率。\n",
    "- **伪阴性率（FNR）**：在所有实际为阳性的样本中，被错误的预测为阴性的比率。\n",
    "- **真阴性率（TNR）**：在所有实际为阴性的样本中，被正确的预测为阴性的比率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "val_pre   = []\n",
    "val_label = []\n",
    "for images, labels in val_ds:#这里可以取部分验证数据（.take(1)）生成混淆矩阵\n",
    "    for image, label in zip(images, labels):\n",
    "        # 需要给图片增加一个维度\n",
    "        img_array = tf.expand_dims(image, 0)\n",
    "        # 使用模型预测图片中的人物\n",
    "        prediction = model.predict(img_array)\n",
    "\n",
    "        val_pre.append(np.argmax(prediction))\n",
    "        val_label.append(label)\n",
    "        \n",
    "train_pre   = []\n",
    "train_label = []\n",
    "for images, labels in train_ds:#这里可以取部分验证数据（.take(1)）生成混淆矩阵\n",
    "    for image, label in zip(images, labels):\n",
    "        # 需要给图片增加一个维度\n",
    "        img_array = tf.expand_dims(image, 0)\n",
    "        # 使用模型预测图片中的人物\n",
    "        prediction = model.predict(img_array)\n",
    "\n",
    "        train_pre.append(np.argmax(prediction))\n",
    "        train_label.append(label)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`sklearn.metrics.roc_curve()`：用于绘制ROC曲线\n",
    "\n",
    "**主要参数：**\n",
    "- `y_true`：真实的样本标签，默认为{0，1}或者{-1，1}。如果要设置为其它值，则 pos_label 参数要设置为特定值。例如要令样本标签为{1，2}，其中2表示正样本，则pos_label=2。\n",
    "- `y_score`：对每个样本的预测结果。\n",
    "- `pos_label`：正样本的标签。\n",
    "\n",
    "**返回值：**\n",
    "- `fpr`：False positive rate。\n",
    "- `tpr`：True positive rate。\n",
    "- `thresholds`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x198219e4c70>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_roc(name, labels, predictions, **kwargs):\n",
    "    fp, tp, _ = metrics.roc_curve(labels, predictions)\n",
    "\n",
    "    plt.plot(fp, tp, label=name, linewidth=2, **kwargs)\n",
    "    plt.plot([0, 1], [0, 1], color='gray', linestyle='--')\n",
    "    plt.xlabel('False positives rate')\n",
    "    plt.ylabel('True positives rate')\n",
    "    ax = plt.gca()\n",
    "    ax.set_aspect('equal')\n",
    "    \n",
    "plot_roc(\"Train Baseline\", train_label, train_pre, color=\"green\", linestyle=':')\n",
    "plot_roc(\"val Baseline\", val_label, val_pre, color=\"red\", linestyle='--')\n",
    "\n",
    "plt.legend(loc='lower right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC值为： 0.869022869022869\n"
     ]
    }
   ],
   "source": [
    "auc_score = metrics.roc_auc_score(val_label, val_pre)\n",
    "print(\"AUC值为：\",auc_score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "🥇 需要 **项目定制**、**毕设辅导** 的同学可以加我V.信：mtyjkh_"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
